Michael Neale is a seasoned founder and engineer with 20 years of experience building cloud-native, back-end and DevOps tooling from Australia. He co-founded CloudBees and has deep hands-on expertise in distributed systems, CI/CD and rule engines, contributing to high-profile open-source projects like Jenkins X, Infinispan and Drools/Kogito. Michael blends core Java backend work—serialization, REST servers and rule execution—with developer experience improvements such as CLI tooling, build automation and preview environments. His recent work spans AI agent tooling and developer ergonomics (goose, ksync), showing a knack for practical automation that prevents real-world failures like accidental file overwrites. Colleagues describe him as the kind of engineer who enjoys “long walks with varied programming languages,” equally at home refactoring MVEL expressions or tightening CI pipelines.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Role in this project:
Back-end & DevOps Engineer
Contributions:7 releases, 328 reviews, 414 PRs in 7 months
Contributions summary:Michael contributed to the development and maintenance of the `goose` AI agent by adding features such as per-repository hints, integrating a Jira toolkit, and implementing web browsing capabilities. They addressed critical issues by preventing file overwrites and enhancing shell command execution. Their work also included the implementation of global configuration for developers, and building the application for intel macs.
Kogito Runtimes - Kogito is a cloud-native business automation technology for building cloud-ready business applications.
Role in this project:
Back-end Developer
Contributions:918 commits in 4 years
Contributions summary:Michael primarily focused on improving the Drools decision engine. Their contributions included removing unnecessary code, fixing bugs, and enhancing core functionalities, such as handling null values and improving MVEL expression parsing. They also worked on integrating features such as allowing multiple value definitions in a decision table and the inclusion of various operators, with a focus on the MVEL dialect.
kogitoknativebusiness-automationrule-enginedrools
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